San Francisco, CA – December 15, 2016 – Trifacta, the global leader in data wrangling, today announced that Origami Logic is using Trifacta Wrangler Enterprise as an architectural component of its Marketing Signal Measurement platform. Origami Logic brings together marketing data from a wide variety of data sources to provide CMOs, agencies, brand marketers, and marketing analytics teams with a complete view of their cross-channel marketing performance. With Trifacta, Origami Logic has accelerated the customer on-boarding process, data-driven decision making, and time-to-value for users.

“With Trifacta, our team is driving customer value and internal productivity by automating the task of transforming data coming from proprietary files. Not all marketing data is available from defined APIs and we needed a way to automate the process of on-boarding and transforming these custom data types. We’re able to quickly define how each inbound data set must be prepared in Trifacta and the solution automatically reproduces those wrangling recipes across massive volumes of data according to the schedules we define. Not only does this save us from performing a huge amount of manual work, but it also reduces the risk of introducing errors during the process,” said Jeff Chamberlain, director of product marketing, Origami Logic.

Origami Logic is a marketing analytics company that helps teams master their marketing performance by consolidating all of their marketing data and letting them explore it in real time, in whatever way makes sense to them, so they can see what’s working and what’s not, and optimize their efforts as they go. Origami Logic customers are increasingly leveraging data from new and unruly sources, such as proprietary systems and third-party data providers. Previously, data teams had to prepare that data for analysis with time-consuming, manual coding and data manipulation. Trifacta’s intuitive solution for data exploration and data preparation for diverse customer data sources makes the data wrangling process much more productive by automatically reproducing the transformations after a new data source has been initially wrangled.

“Origami Logic needed a data wrangling solution that could help turn increasingly diverse marketing signals into actionable insights,” said Adam Wilson, CEO, Trifacta. “We’re thrilled to be an integral part of Origami Logic’s mission to apply science to the art of marketing.”

About TrifactaTrifacta, the global leader in data wrangling software, significantly enhances the value of an enterprise’s big data by enabling users to easily transform and enrich raw, complex data into clean and structured formats for analysis with self-service data preparation. Leveraging decades of innovative work in human-computer interaction, scalable data management and machine learning, Trifacta’s unique technology creates a partnership between user and machine, with each side learning from the other and becoming smarter with experience. Trifacta is backed by Accel Partners, Cathay Innovation, Greylock Partners and Ignition Partners.

About Origami Logic

Origami Logic is a marketing analytics company that helps teams master marketing performance by letting them see what’s working and what’s not – in a way that makes sense to them – so they can optimize their efforts. Thousands of marketers and global brands, including P&G, HP, Intel, JCPenney, Cisco and Omni Hotels, trust Origami Logic to help them unify and refine their vast array of marketing data, across every channel and platform, so they can search and organize it in real time to get a better understanding of their marketing efforts and improve their overall impact. Origami Logic is funded by top-tier investors Accel Partners, DAG Ventures, Icon Ventures, Lightspeed Venture Partners and Next World Capital. Please visit www.origamilogic.com and follow us on Twitter @OrigamiLogic.

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Trifacta’s mission is to create radical productivity for people who analyze data. We’re deeply focused on solving for the biggest bottleneck in the data lifecycle, data wrangling, by making it more intuitive and efficient for anyone who works with data.